Under the umbrella of the German Center for Lung
Research (DZL), the Hannover partner site BREATH is
expanding its bioinformatics-based research capabilities
by seeking a PHD candidate (m/f) in bioinformatics starting
at the earliest date possible.

PHD STUDENT (M/F) IN BIOINFORMATICS

BREATH is partner to projects involving the application of genomics technologies including metagenomics,
whole genome and exome sequencing, RNA-seq among others to lung diseases such as cystic fibrosis, chronic
obstructive pulmonary disease, idiopathic pulmonary fibrosis, lung transplantation as well as rare genetic
disorders. Here, there is a strong emphasis on translational medicine, and as such the thesis work will be
focused ,on developing the analytical methods necessary to successfully interpret *omics results in a way that
leads to the insights into lung disease biology that are necessary to identify targets for functional follow-up
studies and therapeutics development.

Basic requirements

Undergraduate degree in molecular biology, computer sciences, statistics or mathematics or other
related field

Analytical ability founded either in statistics, mathematics or computer science principles

Proficiency in at least one programming/scripting language such as python, c/c++, Java, R, perl etc.

Desired qualifications

Previous experience in bioinformatics (desired, but optional)

Experience working with next generation sequencing technologies (desired, but optional)

Expertise in at least one of the relevant interdisciplinary pillars: genetics, molecular biology, statistics
computer science, mathematics (at least one is required)

Important characteristics

Strong drive and interest in interdisciplinary approaches

A thirst for knowledge

Enjoyment of working in a team

A desire to hold one’s self to the highest standards of professional and academic excellence

The position is associated with a three year contract. Compensation is dictated by the guidelines TV-L E13 at
50 %. The MHH is committed to supporting the professional careers of women and applications from women
are particularly desired. People with disabilities will be preferred when their qualifications match or exceed
those of other applicants.